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Intelligent control and look-ahead energy management of hybrid electric vehicles

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thesis
posted on 2012-09-01, 00:00 authored by B Ganji
A review of the state of knowledge in the field of control and energy management in HEVs is carried out. The key innovation of the project is the development of a model of a PHEV using the real road data with an intelligent look-ahead online controller. Another novelty of this work is the method of route planning. It combines the information of vehicle sensors such as accelerometer and speedometer with the data of a GPS to create a road grade map for use within the look-ahead energy management strategy in the vehicle. For the PHEV, an adaptive cruise controller is modelled and an optimisation method is applied to obtain the best speed profile during a trajectory. Finally, the nonlinear model of the vehicle is applied with the sliding mode controller. The effect of using this controller is compared with the universal cruise controller. The stability of the system is studied and proved.

History

Pagination

xvii, 225 pages : diagrams, tables, graphs, some coloured

Open access

  • Yes

Material type

thesis

Resource type

thesis

Language

eng

Degree type

Research doctorate

Degree name

Ph.D.

Copyright notice

The Author. All Rights Reserved

Editor/Contributor(s)

A Kouzani Abbas

Thesis faculty

Faculty of Science

Thesis school

Engineering and Built Environment